Structural optimization is a very well established design tool in several engineering fields when the problem is formulated with a single objective function and the feasible design region turns out to be convex.
There are well established design patterns that introduce redundancy and that are widely documented and adopted by the industry.
Then, a parametric correction factor of the incident significant wave height at the toe of the structure is provided and included in well established design criteria.
Aluminium alloys have been the primary material for the structural parts of aircraft for more than 80 years because of their well known performance, well established design methods, manufacturing and reliable inspection techniques.
We use finite element analysis to evaluate the performance of the two braided stents emulating well established designs: WALLSTENT and WallFlex.
We therefore contend that it is necessary to examine the designs common to existing tools in order to facilitate discussion and debate regarding cloud monitoring, empower operations staff to make more informed tool choices and encourage researchers and developers to avoid reimplementing well established designs.
Experience shows that renderings produced with natural sands or construction and demolition waste (CDW) recycled aggregates could have a tendency to poor performance, due primarily to the variable quality of the sands, the absence of a well established mix design method for mortars, and other factors such as façade design, substrate quality and the placement technique.
Soft-state is a well established approach to designing robust network protocols and applications.
However, there does not exist a well established methodology for designing heat exchangers with new geometries for its implementation in heat transformers.
In this paper a fast automatic design environment is developed, making use of a well established and validated turbomachinery design software system for geometry generation and flow analysis.
The norm optimal approach, both in its basic form and the extension to predictive action, where the predicted errors on a number of future trials are explicitly included in the cost function for controller design, is now a well established area in iterative learning control in terms of the underlying theory.
